Overview

Dataset statistics

Number of variables23
Number of observations4061
Missing cells5241
Missing cells (%)5.6%
Total size in memory729.8 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_Type and 1 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
DM_Type is highly overall correlated with DM and 1 other fieldsHigh correlation
HbA1C_Admission_Value is highly overall correlated with DM and 2 other fieldsHigh correlation
Waist is highly overall correlated with BMIHigh correlation
Fasting_Blood_Glucose_Value_SI_Units is highly overall correlated with HbA1C_Admission_ValueHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Year_DM_Diagnosed has 1871 (46.1%) missing valuesMissing
DM_Duration has 1871 (46.1%) missing valuesMissing
HbA1C_Admission_Value has 1499 (36.9%) missing valuesMissing
Year_DM_Diagnosed is highly skewed (γ1 = -26.51372278)Skewed
DM_Duration is highly skewed (γ1 = 26.52116445)Skewed
Cholesterol_Value_SI_Units is highly skewed (γ1 = 45.46284847)Skewed
Triglycerides_Value_SI_Units is highly skewed (γ1 = 22.61940781)Skewed
Gender has 1364 (33.6%) zerosZeros
Education has 969 (23.9%) zerosZeros
Work has 2923 (72.0%) zerosZeros
Cardiac_Arrest_Admission has 3974 (97.9%) zerosZeros
Non_Cardiac_Condition has 3943 (97.1%) zerosZeros
Hypertension has 1432 (35.3%) zerosZeros
Dyslipidemia has 1766 (43.5%) zerosZeros
DM has 1883 (46.4%) zerosZeros
DM_Type has 1872 (46.1%) zerosZeros
DM_Treatment has 103 (2.5%) zerosZeros
Smoking_History has 982 (24.2%) zerosZeros
Lipid_24_Collected has 599 (14.8%) zerosZeros

Reproduction

Analysis started2023-03-14 16:32:03.654930
Analysis finished2023-03-14 16:34:25.201316
Duration2 minutes and 21.55 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66412214
Minimum0
Maximum1
Zeros1364
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:25.283381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4723546
Coefficient of variation (CV)0.71124658
Kurtosis-1.5173706
Mean0.66412214
Median Absolute Deviation (MAD)0
Skewness-0.69525313
Sum2697
Variance0.22311887
MonotonicityNot monotonic
2023-03-14T16:34:25.457857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2697
66.4%
0 1364
33.6%
ValueCountFrequency (%)
0 1364
33.6%
1 2697
66.4%
ValueCountFrequency (%)
1 2697
66.4%
0 1364
33.6%

Age
Real number (ℝ)

Distinct79
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.351884
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:25.732794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.727595
Coefficient of variation (CV)0.21088977
Kurtosis-0.12256521
Mean60.351884
Median Absolute Deviation (MAD)9
Skewness0.0038224183
Sum245089
Variance161.99166
MonotonicityNot monotonic
2023-03-14T16:34:25.987420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 149
 
3.7%
72 138
 
3.4%
60 132
 
3.3%
57 132
 
3.3%
67 121
 
3.0%
59 119
 
2.9%
52 117
 
2.9%
56 114
 
2.8%
64 112
 
2.8%
70 111
 
2.7%
Other values (69) 2816
69.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.1%
26 5
0.1%
27 4
0.1%
28 5
0.1%
29 5
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
102 1
 
< 0.1%
99 5
0.1%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 3
0.1%
94 6
0.1%
93 6
0.1%
92 6
0.1%
91 3
0.1%

Education
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9202167
Minimum0
Maximum6
Zeros969
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:26.215848image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4284366
Coefficient of variation (CV)0.74389343
Kurtosis-0.55103223
Mean1.9202167
Median Absolute Deviation (MAD)1
Skewness0.32913589
Sum7798
Variance2.0404311
MonotonicityNot monotonic
2023-03-14T16:34:26.399045image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1965
48.4%
0 969
23.9%
4 645
 
15.9%
1 249
 
6.1%
5 164
 
4.0%
3 65
 
1.6%
6 4
 
0.1%
ValueCountFrequency (%)
0 969
23.9%
1 249
 
6.1%
2 1965
48.4%
3 65
 
1.6%
4 645
 
15.9%
5 164
 
4.0%
6 4
 
0.1%
ValueCountFrequency (%)
6 4
 
0.1%
5 164
 
4.0%
4 645
 
15.9%
3 65
 
1.6%
2 1965
48.4%
1 249
 
6.1%
0 969
23.9%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31667077
Minimum0
Maximum3
Zeros2923
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:26.592651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53974118
Coefficient of variation (CV)1.7044237
Kurtosis1.5830841
Mean0.31667077
Median Absolute Deviation (MAD)0
Skewness1.51927
Sum1286
Variance0.29132054
MonotonicityNot monotonic
2023-03-14T16:34:26.754110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 2923
72.0%
1 994
 
24.5%
2 140
 
3.4%
3 4
 
0.1%
ValueCountFrequency (%)
0 2923
72.0%
1 994
 
24.5%
2 140
 
3.4%
3 4
 
0.1%
ValueCountFrequency (%)
3 4
 
0.1%
2 140
 
3.4%
1 994
 
24.5%
0 2923
72.0%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025855701
Minimum0
Maximum3
Zeros3974
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:26.937453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18981787
Coefficient of variation (CV)7.3414323
Kurtosis97.814758
Mean0.025855701
Median Absolute Deviation (MAD)0
Skewness8.9927267
Sum105
Variance0.036030825
MonotonicityNot monotonic
2023-03-14T16:34:27.119683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 3974
97.9%
1 73
 
1.8%
2 10
 
0.2%
3 4
 
0.1%
ValueCountFrequency (%)
0 3974
97.9%
1 73
 
1.8%
2 10
 
0.2%
3 4
 
0.1%
ValueCountFrequency (%)
3 4
 
0.1%
2 10
 
0.2%
1 73
 
1.8%
0 3974
97.9%

Non_Cardiac_Condition
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.030041862
Minimum0
Maximum2
Zeros3943
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:27.289535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17640002
Coefficient of variation (CV)5.8718074
Kurtosis38.051304
Mean0.030041862
Median Absolute Deviation (MAD)0
Skewness6.0384687
Sum122
Variance0.031116969
MonotonicityNot monotonic
2023-03-14T16:34:27.475960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3943
97.1%
1 114
 
2.8%
2 4
 
0.1%
ValueCountFrequency (%)
0 3943
97.1%
1 114
 
2.8%
2 4
 
0.1%
ValueCountFrequency (%)
2 4
 
0.1%
1 114
 
2.8%
0 3943
97.1%

Hypertension
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64860872
Minimum0
Maximum2
Zeros1432
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:27.642045image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.48003608
Coefficient of variation (CV)0.74010119
Kurtosis-1.561588
Mean0.64860872
Median Absolute Deviation (MAD)0
Skewness-0.58935592
Sum2634
Variance0.23043464
MonotonicityNot monotonic
2023-03-14T16:34:27.835571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2624
64.6%
0 1432
35.3%
2 5
 
0.1%
ValueCountFrequency (%)
0 1432
35.3%
1 2624
64.6%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2624
64.6%
0 1432
35.3%

Dyslipidemia
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56636296
Minimum0
Maximum2
Zeros1766
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:28.132390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49811595
Coefficient of variation (CV)0.87949952
Kurtosis-1.8650935
Mean0.56636296
Median Absolute Deviation (MAD)0
Skewness-0.23800234
Sum2300
Variance0.2481195
MonotonicityNot monotonic
2023-03-14T16:34:28.309272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2290
56.4%
0 1766
43.5%
2 5
 
0.1%
ValueCountFrequency (%)
0 1766
43.5%
1 2290
56.4%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2290
56.4%
0 1766
43.5%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071411
Minimum0
Maximum2
Zeros1883
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:28.532462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99695235
Coefficient of variation (CV)0.93050414
Kurtosis-1.9792108
Mean1.071411
Median Absolute Deviation (MAD)0
Skewness-0.14324036
Sum4351
Variance0.99391399
MonotonicityNot monotonic
2023-03-14T16:34:28.705373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2173
53.5%
0 1883
46.4%
1 5
 
0.1%
ValueCountFrequency (%)
0 1883
46.4%
1 5
 
0.1%
2 2173
53.5%
ValueCountFrequency (%)
2 2173
53.5%
1 5
 
0.1%
0 1883
46.4%

Year_DM_Diagnosed
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct48
Distinct (%)2.2%
Missing1871
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean1997.6347
Minimum9
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:28.927895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1984
Q11996
median2002
Q32007
95-th percentile2011
Maximum2022
Range2013
Interquartile range (IQR)11

Descriptive statistics

Standard deviation73.9518
Coefficient of variation (CV)0.037019681
Kurtosis709.86491
Mean1997.6347
Median Absolute Deviation (MAD)5
Skewness-26.513723
Sum4374820
Variance5468.8688
MonotonicityNot monotonic
2023-03-14T16:34:29.187714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2002 284
 
7.0%
2007 169
 
4.2%
1992 151
 
3.7%
1997 149
 
3.7%
2000 117
 
2.9%
2008 112
 
2.8%
2006 101
 
2.5%
2003 99
 
2.4%
2010 87
 
2.1%
2011 81
 
2.0%
Other values (38) 840
20.7%
(Missing) 1871
46.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
10 1
 
< 0.1%
20 1
 
< 0.1%
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
< 0.1%
1973 3
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
ValueCountFrequency (%)
2022 1
 
< 0.1%
2013 1
 
< 0.1%
2012 60
 
1.5%
2011 81
2.0%
2010 87
2.1%
2009 76
1.9%
2008 112
2.8%
2007 169
4.2%
2006 101
2.5%
2005 70
1.7%

DM_Duration
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct46
Distinct (%)2.1%
Missing1871
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean14.622374
Minimum-10
Maximum2004
Zeros30
Zeros (%)0.7%
Negative1
Negative (%)< 0.1%
Memory size31.9 KiB
2023-03-14T16:34:29.617755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile1
Q16
median10
Q316
95-th percentile28
Maximum2004
Range2014
Interquartile range (IQR)10

Descriptive statistics

Standard deviation73.960247
Coefficient of variation (CV)5.058019
Kurtosis710.13298
Mean14.622374
Median Absolute Deviation (MAD)5
Skewness26.521164
Sum32023
Variance5470.1182
MonotonicityNot monotonic
2023-03-14T16:34:29.962199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
10 340
 
8.4%
20 199
 
4.9%
15 173
 
4.3%
5 172
 
4.2%
12 115
 
2.8%
6 103
 
2.5%
7 91
 
2.2%
4 88
 
2.2%
2 88
 
2.2%
1 83
 
2.0%
Other values (36) 738
 
18.2%
(Missing) 1871
46.1%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 30
 
0.7%
1 83
2.0%
2 88
2.2%
3 78
1.9%
4 88
2.2%
5 172
4.2%
6 103
2.5%
7 91
2.2%
8 82
2.0%
ValueCountFrequency (%)
2004 1
 
< 0.1%
2003 1
 
< 0.1%
1992 1
 
< 0.1%
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%
36 1
 
< 0.1%
35 7
0.2%

DM_Type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0716572
Minimum0
Maximum2
Zeros1872
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:30.389285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99433714
Coefficient of variation (CV)0.92784998
Kurtosis-1.9737973
Mean1.0716572
Median Absolute Deviation (MAD)0
Skewness-0.14373466
Sum4352
Variance0.98870634
MonotonicityNot monotonic
2023-03-14T16:34:30.649857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2163
53.3%
0 1872
46.1%
1 26
 
0.6%
ValueCountFrequency (%)
0 1872
46.1%
1 26
 
0.6%
2 2163
53.3%
ValueCountFrequency (%)
2 2163
53.3%
1 26
 
0.6%
0 1872
46.1%

DM_Treatment
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3462201
Minimum0
Maximum9
Zeros103
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:30.869369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0130862
Coefficient of variation (CV)0.31721026
Kurtosis1.6568194
Mean6.3462201
Median Absolute Deviation (MAD)1
Skewness-1.4716572
Sum25772
Variance4.0525159
MonotonicityNot monotonic
2023-03-14T16:34:31.070071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1873
46.1%
8 896
22.1%
5 489
 
12.0%
3 338
 
8.3%
9 164
 
4.0%
0 103
 
2.5%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.8%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.5%
1 100
 
2.5%
2 1
 
< 0.1%
3 338
 
8.3%
4 63
 
1.6%
5 489
 
12.0%
6 34
 
0.8%
7 1873
46.1%
8 896
22.1%
9 164
 
4.0%
ValueCountFrequency (%)
9 164
 
4.0%
8 896
22.1%
7 1873
46.1%
6 34
 
0.8%
5 489
 
12.0%
4 63
 
1.6%
3 338
 
8.3%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.5%

Smoking_History
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93351391
Minimum0
Maximum4
Zeros982
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:31.250608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68085153
Coefficient of variation (CV)0.72934267
Kurtosis1.0203607
Mean0.93351391
Median Absolute Deviation (MAD)0
Skewness0.59385122
Sum3791
Variance0.46355881
MonotonicityNot monotonic
2023-03-14T16:34:31.432313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2464
60.7%
0 982
 
24.2%
2 524
 
12.9%
3 85
 
2.1%
4 6
 
0.1%
ValueCountFrequency (%)
0 982
 
24.2%
1 2464
60.7%
2 524
 
12.9%
3 85
 
2.1%
4 6
 
0.1%
ValueCountFrequency (%)
4 6
 
0.1%
3 85
 
2.1%
2 524
 
12.9%
1 2464
60.7%
0 982
 
24.2%

HbA1C_Admission_Value
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct384
Distinct (%)15.0%
Missing1499
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean7.5797931
Minimum0
Maximum88.4
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:31.781525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q15.9
median7
Q38.9225
95-th percentile11.9095
Maximum88.4
Range88.4
Interquartile range (IQR)3.0225

Descriptive statistics

Standard deviation2.7954479
Coefficient of variation (CV)0.36880267
Kurtosis272.19291
Mean7.5797931
Median Absolute Deviation (MAD)1.37
Skewness9.9580976
Sum19419.43
Variance7.814529
MonotonicityNot monotonic
2023-03-14T16:34:32.092817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 144
 
3.5%
5.9 71
 
1.7%
5.7 69
 
1.7%
5.8 65
 
1.6%
5.3 53
 
1.3%
5.6 52
 
1.3%
5.5 52
 
1.3%
7 49
 
1.2%
5 48
 
1.2%
5.4 48
 
1.2%
Other values (374) 1911
47.1%
(Missing) 1499
36.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
20 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
< 0.1%
15.8 1
< 0.1%
15.7 2
< 0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
15.2 2
< 0.1%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8542231
Minimum0
Maximum2
Zeros599
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:32.342659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35777779
Coefficient of variation (CV)0.41883413
Kurtosis2.0043612
Mean0.8542231
Median Absolute Deviation (MAD)0
Skewness-1.8947918
Sum3469
Variance0.12800494
MonotonicityNot monotonic
2023-03-14T16:34:32.539687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3455
85.1%
0 599
 
14.8%
2 7
 
0.2%
ValueCountFrequency (%)
0 599
 
14.8%
1 3455
85.1%
2 7
 
0.2%
ValueCountFrequency (%)
2 7
 
0.2%
1 3455
85.1%
0 599
 
14.8%

Heart_Rate
Real number (ℝ)

Distinct141
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.181926
Minimum0
Maximum222
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:32.915576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range222
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.07293
Coefficient of variation (CV)0.24738733
Kurtosis3.2711422
Mean85.181926
Median Absolute Deviation (MAD)12
Skewness1.0138925
Sum345923.8
Variance444.06836
MonotonicityNot monotonic
2023-03-14T16:34:33.163510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 298
 
7.3%
90 203
 
5.0%
70 202
 
5.0%
100 151
 
3.7%
78 136
 
3.3%
88 126
 
3.1%
75 118
 
2.9%
72 105
 
2.6%
85 101
 
2.5%
76 88
 
2.2%
Other values (131) 2533
62.4%
ValueCountFrequency (%)
0 5
0.1%
8 1
 
< 0.1%
25 2
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 2
 
< 0.1%
35 3
 
0.1%
36 2
 
< 0.1%
38 5
0.1%
40 11
0.3%
ValueCountFrequency (%)
222 1
 
< 0.1%
220 1
 
< 0.1%
200 2
< 0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
< 0.1%
170 3
0.1%
168 3
0.1%

Waist
Real number (ℝ)

Distinct201
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.543575
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:33.404755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile72
Q188
median98
Q3109
95-th percentile124
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.297493
Coefficient of variation (CV)0.17733093
Kurtosis2.3810853
Mean97.543575
Median Absolute Deviation (MAD)10
Skewness-0.34356185
Sum396124.46
Variance299.20325
MonotonicityNot monotonic
2023-03-14T16:34:33.634528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 225
 
5.5%
100 171
 
4.2%
85 158
 
3.9%
110 151
 
3.7%
98 145
 
3.6%
105 132
 
3.3%
80 127
 
3.1%
88 123
 
3.0%
95 123
 
3.0%
102 111
 
2.7%
Other values (191) 2595
63.9%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
< 0.1%
32 9
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 8
0.2%
37 1
 
< 0.1%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
Distinct1738
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4577442
Minimum0.33
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:33.897334image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.6
Q16
median7.5221
Q39.3
95-th percentile14.7278
Maximum235
Range234.67
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation7.654728
Coefficient of variation (CV)0.90505551
Kurtosis455.64752
Mean8.4577442
Median Absolute Deviation (MAD)1.6221
Skewness18.487995
Sum34346.899
Variance58.59486
MonotonicityNot monotonic
2023-03-14T16:34:34.130942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 79
 
1.9%
5.2 76
 
1.9%
5.6 68
 
1.7%
5 68
 
1.7%
4.8 55
 
1.4%
5.4 53
 
1.3%
6.2 53
 
1.3%
5.8 53
 
1.3%
5.5 52
 
1.3%
5.7 49
 
1.2%
Other values (1728) 3455
85.1%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1.01 1
< 0.1%
ValueCountFrequency (%)
235 1
< 0.1%
230 1
< 0.1%
156 1
< 0.1%
141 1
< 0.1%
135 1
< 0.1%
107 1
< 0.1%
100 1
< 0.1%
99 1
< 0.1%
87 1
< 0.1%
81 1
< 0.1%
Distinct883
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9866005
Minimum0.07
Maximum489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:34.403453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.9
Q13.9
median4.7
Q35.5
95-th percentile6.99
Maximum489
Range488.93
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation9.154849
Coefficient of variation (CV)1.8358898
Kurtosis2220.9337
Mean4.9866005
Median Absolute Deviation (MAD)0.8
Skewness45.462848
Sum20250.585
Variance83.81126
MonotonicityNot monotonic
2023-03-14T16:34:34.680362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 82
 
2.0%
4.5 80
 
2.0%
5.2 74
 
1.8%
4.6 73
 
1.8%
4.2 73
 
1.8%
5.6 70
 
1.7%
4.1 67
 
1.6%
4.9 67
 
1.6%
4 66
 
1.6%
4.8 65
 
1.6%
Other values (873) 3344
82.3%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
< 0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
489 1
< 0.1%
308 1
< 0.1%
59.3823 1
< 0.1%
59.3711 1
< 0.1%
25.2447 1
< 0.1%
24.4887 1
< 0.1%
15.7429 1
< 0.1%
15.7 1
< 0.1%
14.7039 1
< 0.1%
14.3385 1
< 0.1%
Distinct799
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6880562
Minimum0.01
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:34.908466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q11
median1.4292
Q32
95-th percentile3.5
Maximum71
Range70.99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5719324
Coefficient of variation (CV)0.93120859
Kurtosis939.21872
Mean1.6880562
Median Absolute Deviation (MAD)0.4792
Skewness22.619408
Sum6855.1961
Variance2.4709715
MonotonicityNot monotonic
2023-03-14T16:34:35.143270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.7%
1.2 107
 
2.6%
1.1 107
 
2.6%
1.3 102
 
2.5%
0.8 99
 
2.4%
0.9 98
 
2.4%
1.5 97
 
2.4%
1.6 91
 
2.2%
1.4 91
 
2.2%
1.8 80
 
2.0%
Other values (789) 3081
75.9%
ValueCountFrequency (%)
0.01 6
0.1%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
71 1
< 0.1%
17.6 1
< 0.1%
17.4 1
< 0.1%
14.55 1
< 0.1%
12.1625 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%

BMI
Real number (ℝ)

Distinct1242
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.991262
Minimum13.34
Maximum342.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:35.409456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.96
median27.76
Q331.53
95-th percentile39.51
Maximum342.78
Range329.44
Interquartile range (IQR)6.57

Descriptive statistics

Standard deviation8.8466349
Coefficient of variation (CV)0.30514832
Kurtosis514.74462
Mean28.991262
Median Absolute Deviation (MAD)3.23
Skewness17.030867
Sum117733.51
Variance78.26295
MonotonicityNot monotonic
2023-03-14T16:34:35.696902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.71 40
 
1.0%
27.68 38
 
0.9%
24.22 36
 
0.9%
29.41 30
 
0.7%
29.76 28
 
0.7%
27.34 27
 
0.7%
31.25 27
 
0.7%
25.95 26
 
0.6%
31.22 25
 
0.6%
28.73 23
 
0.6%
Other values (1232) 3761
92.6%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
< 0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
< 0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
342.78 1
< 0.1%
233.4 1
< 0.1%
221.14 1
< 0.1%
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3497
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.160847
Minimum0.29
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:34:35.944995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile25
Q157.43
median83.01
Q3110.62
95-th percentile166.4
Maximum1164.7
Range1164.41
Interquartile range (IQR)53.19

Descriptive statistics

Standard deviation52.933006
Coefficient of variation (CV)0.60041399
Kurtosis101.90686
Mean88.160847
Median Absolute Deviation (MAD)26.63
Skewness6.1224019
Sum358021.2
Variance2801.9031
MonotonicityNot monotonic
2023-03-14T16:34:36.300824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.1708 6
 
0.1%
83.2 6
 
0.1%
86.1 6
 
0.1%
110.7 4
 
0.1%
76.16 4
 
0.1%
67.65 4
 
0.1%
97.17 4
 
0.1%
79.9 4
 
0.1%
76.26 4
 
0.1%
61.55 3
 
0.1%
Other values (3487) 4016
98.9%
ValueCountFrequency (%)
0.29 1
< 0.1%
0.52 1
< 0.1%
0.55 1
< 0.1%
0.58 1
< 0.1%
0.67 1
< 0.1%
0.78 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
0.99 1
< 0.1%
1 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-03-14T16:34:18.269638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:04.477948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:09.291107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:13.727210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:18.330754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:23.544029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:30.985111image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:37.214079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:43.127268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:48.191340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:54.196666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:00.896965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:07.067365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:14.403828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:19.496342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:25.420679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:30.585775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:36.187364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:43.451890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:51.179264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:57.475126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:05.911532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:12.628445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:18.485778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:04.631410image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:09.448924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:13.915894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:18.517375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:23.882230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-14T16:33:29.484093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:34.888843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:41.954163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:49.479859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:56.270555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:04.041348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:11.435088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:17.049884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:22.743280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:08.504184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:12.998245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:17.545655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:22.310771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:29.516066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:36.074308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:41.807868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:47.287013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:52.830803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:59.797628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:06.101726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:13.270732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:18.725469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:24.376149image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:29.740443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:35.146532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:42.260038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:49.819218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:56.488691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:04.422172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:11.668656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:17.235955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:22.966604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:08.679840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:13.167448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:17.745717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:22.545228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:30.033845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:36.492527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:42.137540image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:47.488212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:53.242768image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:00.162364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:06.443075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:13.640852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:18.897170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:24.615732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:29.937959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:35.404797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:42.534484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:50.179443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:56.739473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:04.771317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:11.900909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:17.476650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:23.206756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:08.908774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:13.359352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:17.952842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:22.829701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:30.356750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:36.744704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:42.577665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:47.788675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:53.593640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:00.446716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:06.689472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:13.891891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:19.092374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:24.949853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:30.146362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:35.629426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:42.807901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-14T16:33:56.964447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-14T16:34:17.851063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:23.532429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:09.107462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:13.553607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:18.153544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-14T16:32:30.643921image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:37.008890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:42.856629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:47.991600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:32:53.934803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:00.674757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:06.874725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:14.154477image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:19.296639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:25.220271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:30.383805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:35.861548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:43.125618image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:50.828710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:33:57.202954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:05.586786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:12.376064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:34:18.062366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-03-14T16:34:36.558180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.158-0.0070.3780.012-0.010-0.208-0.122-0.1630.090-0.091-0.1600.047-0.146-0.1270.066-0.129-0.035-0.1050.001-0.005-0.1700.105
Age-0.1581.000-0.034-0.540-0.0060.0900.2560.1170.123-0.2970.3000.1340.0010.2580.029-0.0810.040-0.1020.042-0.164-0.213-0.154-0.632
Education-0.007-0.0341.0000.053-0.0060.018-0.006-0.036-0.0060.006-0.007-0.006-0.027-0.018-0.0130.0080.0080.005-0.0180.023-0.0150.0320.033
Work0.378-0.5400.0531.0000.010-0.055-0.235-0.114-0.1670.208-0.208-0.1740.026-0.178-0.1050.062-0.0610.023-0.0960.1160.1310.0550.400
Cardiac_Arrest_Admission0.012-0.006-0.0060.0101.0000.1180.008-0.017-0.002-0.0090.007-0.0110.025-0.020-0.006-0.0180.056-0.0250.0450.0110.009-0.009-0.035
Non_Cardiac_Condition-0.0100.0900.018-0.0550.1181.0000.0680.0250.040-0.0530.0550.035-0.0020.040-0.008-0.0170.115-0.0230.014-0.044-0.019-0.023-0.167
Hypertension-0.2080.256-0.006-0.2350.0080.0681.0000.3980.333-0.1120.1120.325-0.0380.1500.196-0.0010.0990.0870.137-0.1270.0060.106-0.224
Dyslipidemia-0.1220.117-0.036-0.114-0.0170.0250.3981.0000.326-0.0620.0670.320-0.0660.1140.2210.0220.0230.0830.114-0.0710.0810.096-0.093
DM-0.1630.123-0.006-0.167-0.0020.0400.3330.3261.000-0.0200.0240.988-0.0260.1020.670-0.0230.1150.1100.428-0.1170.1040.135-0.099
Year_DM_Diagnosed0.090-0.2970.0060.208-0.009-0.053-0.112-0.062-0.0201.000-0.9950.070-0.053-0.072-0.0920.097-0.063-0.043-0.0050.1710.075-0.1130.214
DM_Duration-0.0910.300-0.007-0.2080.0070.0550.1120.0670.024-0.9951.000-0.0680.0440.0750.084-0.0970.0590.0450.005-0.173-0.0760.107-0.218
DM_Type-0.1600.134-0.006-0.174-0.0110.0350.3250.3200.9880.070-0.0681.000-0.0220.1000.667-0.0250.1090.1080.424-0.1200.0990.133-0.106
DM_Treatment0.0470.001-0.0270.0260.025-0.002-0.038-0.066-0.026-0.0530.044-0.0221.000-0.025-0.081-0.013-0.003-0.106-0.021-0.009-0.001-0.0280.010
Smoking_History-0.1460.258-0.018-0.178-0.0200.0400.1500.1140.102-0.0720.0750.100-0.0251.0000.0770.0020.023-0.0320.048-0.081-0.085-0.001-0.196
HbA1C_Admission_Value-0.1270.029-0.013-0.105-0.006-0.0080.1960.2210.670-0.0920.0840.667-0.0810.0771.000-0.0030.1120.1050.555-0.0070.1810.1420.009
Lipid_24_Collected0.066-0.0810.0080.062-0.018-0.017-0.0010.022-0.0230.097-0.097-0.025-0.0130.002-0.0031.000-0.0410.036-0.050-0.011-0.064-0.0180.057
Heart_Rate-0.1290.0400.008-0.0610.0560.1150.0990.0230.115-0.0630.0590.109-0.0030.0230.112-0.0411.000-0.0110.1280.020-0.0000.046-0.060
Waist-0.035-0.1020.0050.023-0.025-0.0230.0870.0830.110-0.0430.0450.108-0.106-0.0320.1050.036-0.0111.0000.088-0.0130.1250.5120.261
Fasting_Blood_Glucose_Value_SI_Units-0.1050.042-0.018-0.0960.0450.0140.1370.1140.428-0.0050.0050.424-0.0210.0480.555-0.0500.1280.0881.0000.0470.2120.110-0.037
Cholesterol_Value_SI_Units0.001-0.1640.0230.1160.011-0.044-0.127-0.071-0.1170.171-0.173-0.120-0.009-0.081-0.007-0.0110.020-0.0130.0471.0000.4020.0330.139
Triglycerides_Value_SI_Units-0.005-0.213-0.0150.1310.009-0.0190.0060.0810.1040.075-0.0760.099-0.001-0.0850.181-0.064-0.0000.1250.2120.4021.0000.1620.160
BMI-0.170-0.1540.0320.055-0.009-0.0230.1060.0960.135-0.1130.1070.133-0.028-0.0010.142-0.0180.0460.5120.1100.0330.1621.0000.382
Creatinine_Clearance0.105-0.6320.0330.400-0.035-0.167-0.224-0.093-0.0990.214-0.218-0.1060.010-0.1960.0090.057-0.0600.261-0.0370.1390.1600.3821.000

Missing values

2023-03-14T16:34:23.972174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-03-14T16:34:24.690784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-03-14T16:34:25.076666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.